Artificial intelligence has driven transformation in a variety of industries, including the financial services business. Specifically, AI may assist financial services organizations in a number of crucial areas, allowing them to give a more seamless experience to their consumers.
The rapid adoption of AI in finance has not been without its challenges. A recent survey by Deloitte found that 38% of financial services firms cited data quality and access as major obstacles to AI implementation. Additionally, 32% reported difficulties in recruiting and retaining AI talent. These hurdles highlight the need for financial institutions to invest in robust data infrastructure and upskilling programs to fully leverage AI's potential.
How Financial Service Providers Can Leverage AI
Financial services providers can use AI in a variety of ways to improve outcomes for their consumers.
First, there's fraud detection and prevention, which is one of the most major ways AI is changing how financial institutions work. According to a 2023 research by PwC and Stop Scams UK, it is typical in the banking industry to feed past data on fraud cases into machine learning models to enable behaviours or transactions with comparable traits to be more efficiently flagged as suspected fraud. In addition, the study claimed, "This kind of approach to monitoring is well embedded across card payments fraud detection and increasingly in models to detect potential payments to scammers to enable more effective, specific warnings to be given to customers at the point of payment." Financial services organizations can use AI to better protect their customers, especially elderly customers who are more vulnerable to scams.
Despite these advancements, concerns about AI-driven financial crime persist. A 2023 report by the Financial Stability Board warned that sophisticated AI models could potentially be exploited by criminals to create more convincing scams or to identify vulnerabilities in existing security systems. This underscores the importance of continuous innovation in AI-powered security measures to stay ahead of evolving threats.
Risk management is another area where AI can help financial service companies. Banks can use AI to quickly analyze and approve lending approvals. According to a McKinsey report from 2021, "AI-first banks have designed streamlined lending journeys, using extensive automation and near-real-time analysis of customer data to generate prompt credit decisions for retailers, small and medium-size businesses (SMEs), and corporate clients." They accomplish this by filtering through a wide range of organized and unstructured data gathered from both traditional (bank transaction history, credit reports, and tax returns) and new sources (location data, telecom usage data, utility bills, and so on). AI-powered risk management can assist financial services providers in making timely judgments and avoiding arrangements that may have negative effects for all parties concerned.
What other important role can artificial intelligence play in the financial services industry? Customer service. According to "The Financial Services AI Dossier" issued by the Deloitte AI Institute in 2021, "conversational AI solutions such as chatbots and virtual assistants" can handle a variety of activities, "from helping consumers find a better credit card or cancel unneeded accounts, to negotiating collections." In my opinion, by including AI-powered technologies into the mix, financial services providers can guide customers in the right way without overburdening their staff.
The integration of AI in customer service has shown promising results. A 2023 study by Juniper Research projected that AI-powered chatbots will save banks $7.3 billion globally by 2023, with the average time savings per chatbot inquiry estimated at four minutes. However, the study also emphasized the need for human oversight to ensure that AI-driven customer interactions maintain a high level of empathy and accuracy.
The Risks of AI in the Financial Services Industry
Despite the benefits that artificial intelligence can bring to the financial services business, there are also drawbacks.
For starters, relying too heavily on AI might be detrimental to creating customer-centric solutions. Consider AI-powered chatbots. While they can assist financial institutions reply to consumers more quickly, there are numerous scenarios in which customers should speak with support professionals to resolve concerns. Furthermore, chatbots might provide an impersonal client experience. For these reasons, I believe that financial services firms should never phase out human assistance agents.
Furthermore, overreliance on AI might lead to biased decisions that result in unjust outcomes for customers. Financial institutions should be aware of these hazards and take efforts to reduce them, such as requiring a staff member to double-check every credit application declined by an AI system.
The issue of AI bias in financial services has gained increasing attention from regulators. In 2023, the European Banking Authority (EBA) released guidelines on addressing AI bias in credit scoring, emphasizing the need for regular audits of AI models and diverse training data. These regulatory developments indicate a growing recognition of the ethical implications of AI in finance and the need for proactive measures to ensure fairness and transparency.
To prevent significant consequences, financial services leaders should approach AI with caution and thoughtfulness, striking the correct balance between integrating the technology and overseeing its use.
How Can Financial Services Leaders Prepare to Successfully Navigate AI?
To approach AI wisely and intelligently, financial services leaders must first determine how they intend to use AI in their organizations and then be open about those aims with their people.
From there, leaders must guarantee that they and their team members possess the appropriate skills and knowledge. Leaders should study as much as possible about AI and provide opportunities for their employees to receive AI training. Staff in a variety of departments, including marketing and compliance, can benefit from learning AI skills. Leaders should identify areas where they may need to hire additional talent while upskilling their teams. Along the way, leaders should present AI to their employees as a tool to improve how they work, rather than a technology that will replace jobs. By doing so, leaders can allay team members' anxieties about AI taking their jobs and make them motivated to learn more about AI.
Leaders must ensure that their team members have the appropriate abilities, as well as the right tools and processes in place, in order to successfully integrate AI. They should thoroughly examine the available AI solutions and then adapt their procedures accordingly. Financial services leaders must prioritize compliance, data security, and privacy when researching solutions and updating their processes. Banks and other institutions are governed by local and federal legislation, and they handle huge volumes of sensitive information. They cannot ignore compliance, data security, and privacy.
Once financial services leaders have implemented AI technologies and updated their procedures, they must regularly monitor usage to detect any problems before they spiral out of control. AI isn't a one-time project. It needs to be a continual process. Financial services professionals may properly employ AI to improve consumer experiences by remaining up to date on AI systems and technological breakthroughs.
